MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
<jats:p>Recent advances in generative adversarial networks (GANs) have led to remarkable achievements in face image synthesis. While methods that use style-based GANs can generate strikingly photorealistic face images, it is often difficult to control the characteristics of the generated faces...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for the Advancement of Artificial Intelligence (AAAI)
2023
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| Online Access: | https://hdl.handle.net/1721.1/150402 |